On Automated Anomaly Detection for Potentially Unbounded Cardinality based Feature Models.
Markus WeckesserMalte LochauThomas SchnabelBjörn RicherzhagenAndy SchürrPublished in: Software Engineering (2017)
Keyphrases
- anomaly detection
- intrusion detection
- network traffic
- one class support vector machines
- network intrusion detection
- computer security
- anomalous behavior
- probabilistic model
- behavior analysis
- detecting anomalies
- network security
- network anomaly detection
- model selection
- unsupervised anomaly detection
- neural network
- detecting anomalous
- detect anomalies
- evolutionary algorithm
- normal behavior
- data processing
- decision trees